Triple

T564344
Position Surface form Disambiguated ID Type / Status
Subject Vision After the Sermon E13521 entity
Predicate mainSubject P3 FINISHED
Object Jacob E10780 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jacob | Statement: [Vision After the Sermon, mainSubject, Jacob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob
Context triple: [Vision After the Sermon, mainSubject, Jacob]
  • A. Jacob chosen
    Jacob is a central patriarch in the Hebrew Bible, regarded in Judaism as the father of the twelve tribes of Israel.
  • B. Joseph
    Joseph is the given name of Joe Fulks, an early professional basketball star often credited as one of the NBA’s first great scorers.
  • C. Joseph
    Joseph is the full given name of American sportscaster Joe Buck, known for his play-by-play announcing of major NFL and MLB games.
  • D. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • E. Joseph
    Joseph is the husband of Mary in the New Testament and the earthly guardian of Jesus, venerated in Christianity as a model of humility, obedience, and fatherhood.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a735b2881908293ad21ad41cdd6 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5154fa9b48190be235b95548bbb94 completed March 2, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:32 p.m.